Join us for a meetup exploring both the technical foundations of AI coding agents and the practical lessons from rolling them out across a large engineering organization.
\The event will be held in Hebrew
Agenda
18:00 - Gathering, mingling, food + drinks
18:30 - Not a Tooling Problem: Lessons Learned from Org-Wide Agents Rollout - Adam Yahid - Software Engineer Team Lead, monday.com
19:00 - Go Deep Inside the Harness → Make Better Decisions - Yoni Goldberg, Independent Consultant: SDLC · Testing · Architecture
19:30 \- Break
19:45 \- Company Brain with Microsoft Fabric \- Roey Zalta\, Data & AI Solution Engineer\, Microsoft
Abstracts
Talk 1:
Not a Tooling Problem: Lessons Learned from Org-Wide Agents Rollout - Adam Yahid- Software Engineer Team Lead, monday.com
Rolling out AI agents across an organization sounds like a technology problem, but it isn't. It's a change management problem with a technology component, and the difference shapes every decision you make. In this talk, I'll walk through how we built and deployed a developer on-call agent across monday.com's engineering org, what actually worked, and the five lessons we learned about what we'd do differently, or the same if we started over today.
Talk 2:
Go Deep Inside the Harness → Make Better Decisions - Yoni Goldberg, Independent Consultant: SDLC · Testing · Architecture
Your team is in a meeting room, AI coding decisions on the table. Someone says: "A reviewer sub-agent can chat back and forth with the main agent." "The deny list blocks bash scripts deterministically." "Few hierarchical skills beat lots of short ones." True? False? Most people aren't sure. The real answer is: it's complicated - and that complexity shapes the decisions you make. These questions have real answers, and the answers live inside the harness. This talk is a seriously deep journey into how your harness works - Claude Code, Cursor, whatever you run. Once you see it, the black box turns to glass - and every decision y